DocumentCode :
2253549
Title :
Design and optimization on dynamic power system for self-powered integrated wireless sensing nodes
Author :
Ma, Dongsheng ; Wang, Janet M. ; Somasundaram, Mohankumar N. ; Hu, Zongqi
Author_Institution :
Electr. & Comput. Eng. Dept., The Univ. of Arizona, Tucson, AZ, USA
fYear :
2005
fDate :
8-10 Aug. 2005
Firstpage :
303
Lastpage :
306
Abstract :
This paper presents an integrated power system for low-power wireless sensor networks with dynamic efficiency optimization technique. By adaptively resizing power transistors and adjusting switching frequency, system efficiency is enhanced significantly. Theoretical analysis is elaborated to support the proposed technique. A prototype integrated power system for self-powered photovoltaic wireless sensing node was designed and simulated with TSMC 0.35μm CMOS process. With a power range of 0.5μW to 10mW, power efficiency stays above 71%. Tolerance between theoretical and simulated optimal power transistor sizes is less than 6.7%, while that of optimal switching frequencies is less than 5%. The paper gives another solution to minimizing system power in the perspective of power processing.
Keywords :
integrated circuit design; low-power electronics; power supply circuits; power system simulation; wireless sensor networks; 0.0005 to 10 mW; 0.35 micron; dynamic efficiency optimization; dynamic power system design; low power wireless sensor networks; power transistors; prototype; self powered integrated wireless sensing nodes; switching frequency; Design optimization; Photovoltaic systems; Power system analysis computing; Power system dynamics; Power system simulation; Power systems; Power transistors; Switching frequency; Virtual prototyping; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Low Power Electronics and Design, 2005. ISLPED '05. Proceedings of the 2005 International Symposium on
Print_ISBN :
1-59593-137-6
Type :
conf
DOI :
10.1109/LPE.2005.195535
Filename :
1522784
Link To Document :
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